In this paper, we attempt to evaluate the Berger-Tung achievable sum rate for a Gaussian scalar source with arbitrary memory, and we find an analytic necessary ...
In this paper, we attempt to evaluate the Berger-Tung achievable sum rate for a Gaussian scalar source with arbitrary memory, and we find an analytic necessary ...
May 10, 2017 · We describe how the arbitrary memory problem can be fully characterized by using known results for the vector CEO problem, and then we formulate ...
In this paper, we consider the achievable sumrate/ distortion trade-off for the Gaussian central estimation officer (CEO) problem with a scalar source ...
The Gaussian CEO Problem for Scalar Sources With Arbitrary Memory
dl.acm.org › doi › TIT.2017.2703136
Jul 1, 2017 · We describe how the arbitrary memory problem can be fully characterized by using known results for the vector CEO problem, and then we formulate ...
In the classical setting with t = 1, the CEO problem was first introduced by Berger et al. [2] for a finite alphabet source. In the classical Gaussian CEO ...
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Oct 22, 2024 · The Gaussian CEO problem for a scalar source with memory: A necessary condition. Conference Paper. Nov 2012. Jie Chen · Feng ...
"The Gaussian CEO Problem for a Scalar Source with Memory: A Necessary Condition". Co-Author: Feng Jiang & Arnold Swindlehurst, University of California ...
Jan 29, 2023 · Some results related to the secure Gaussian CEO problem with m encoders for scalar Gaussian sources and channels are given below. Theorem 8. The ...
The resulting necessary condition is: R. ∆. = M. X m=1. Rm < CMAC = 1. 2 log (1 + SNR) . (6). Here and onward, logarithms are taken to the natural base, and.